Software Engineer – AI Infrastructure

🕒 February 27

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

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Andromeda

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

🔥 Funding within the last year

💰 $15.1M Series A - Andromeda Robotics on 2025-09

Artificial Intelligence • B2B • Hardware

Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.

📋 Description

• Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions. • Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers). • Translate customer usage patterns into product requirements, delivering impactful features and improvements. • Create automation and internal tooling to eliminate manual or ad-hoc operational work. • Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes. • Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions. • Write clean, maintainable, and well-documented code with a focus on long-term sustainability. • Participate in technical design discussions and contribute to the architectural evolution of our platform.

🎯 Requirements

• 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles. • Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems. • Proven expertise with Kubernetes, VMs, or bare-metal environments. • Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar). • Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.). • Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions. • Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations. • Excellent written and verbal communication skills; effective collaborator across engineering and product functions.

🏖️ Benefits

• Ownership and autonomy to shape systems • Engage directly with customers and providers • Lay foundations for scalable, reliable AI infrastructure • True builder’s opportunity